Chao Gao



 
 
Personal Information
 
I am an assistant professor in statistics at University of Chicago. I graduated from Yale University. My advisor is Harry Zhou. My research lies in nonparametric and high-dimensional statistics, network analysis, Bayes theory and robust statistics.
 
 
Contact
 
 
Address: 5747 S Ellis Ave, Jones 314, Chicago IL 60637
Email: firstnamelastname@galton.uchicago.edu
 
 
Experience & Service
 
Associate Editor, Bernoulli, Jan 2019 -
Associate Editor, Electronic Journal of Statistics, Mar 2017 -
Visiting Student at Leiden University (Prof. Aad van der Vaart), Jan 2015 - May 2015
Intern at Microsoft Research Redmond, May 2014 - Aug 2014
Intern at Microsoft Research Redmond, May 2013 - Aug 2013
 
 
Papers
 
- Network Analysis -

 
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing [arXiv]
C. Gao and Z. Ma
Statistical Science, to appear
 
Testing for Global Network Structure Using Small Subgraph Statistics [arXiv]
C. Gao and J. Lafferty
 
Testing Network Structure Using Relations Between Small Subgraph Probabilities [arXiv]
C. Gao and J. Lafferty
 
Community Detection in Degree-Corrected Block Models [arXiv]
C. Gao, Z. Ma, A. Zhang and H. Zhou
Annals of Statistics, 2018
 
Achieving Optimal Misclassification Proportion in Stochastic Block Model [arXiv]
C. Gao, Z. Ma, A. Zhang and H. Zhou
Journal of Machine Learning Research, 2017
 
Rate-Optimal Graphon Estimation [arXiv]
C. Gao, Y. Lu and H. Zhou
Annals of Statistics, 2015
 
Optimal Estimation and Completion of Matrices with Biclustering Structures [arXiv]
C. Gao, Y. Lu, Z. Ma and H. Zhou
Journal of Machine Learning Research, 2016
 
- Robust Statistics -

 
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective [arXiv]
C. Gao, Y. Yao and W. Zhu
 
Robust Estimation and Generative Adversarial Nets [arXiv]
C. Gao, J. Liu, Y. Yao and W. Zhu
ICLR, 2019
 
Density Estimation with Contaminated Data: Minimax Rates and Theory of Adaptation [arXiv]
H. Liu and C. Gao
Electronic Journal of Statistics, to appear
 
Robust Regression via Mutivariate Regression Depth [arXiv]
C. Gao
Bernoulli, to appear
 
Robust Covariance Matrix Estimation under Huber’s Contamination Model [arXiv]
M. Chen, C. Gao and Z. Ren
Annals of Statistics, 2018
 
A General Decision Theory for Huber's $\epsilon$-Contamination Model [arXiv]
M. Chen, C. Gao and Z. Ren
Electronic Journal of Statistics, 2016
 
- Ranking and Permutation -

 
Phase Transitions in Approximate Ranking [arXiv]
C. Gao
 
Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials [arXiv]
C. Gao
Journal of Machine Learning Research, 2018
 
- Bayes Theory -

 
Bayesian Model Selection with Graph Structured Sparsity [arXiv]
Y. Kim and C. Gao
 
Mixing Time of Metropolis-Hastings for Bayesian Community Detection [arXiv]
B. Zhuo and C. Gao
 
Convergence Rates of Variational Posterior Distributions [arXiv]
F. Zhang and C. Gao
Annals of Statistics, to appear
 
A General Framework for Bayes Structured Linear Models [arXiv]
C. Gao, A. van der Vaart and H. Zhou
Annals of Statistics, to appear
 
Rate-optimal Posterior Contraction for Sparse PCA [arXiv]
C. Gao and H. Zhou
Annals of Statistics, 2015
 
Rate Exact Bayesian Adaptation with Modified Block Priors [arXiv]
C. Gao and H. Zhou
Annals of Statistics, 2016
 
Bernstein-von Mises Theorems for Functionals of the Covariance Matrix [arXiv]
C. Gao and H. Zhou
Electronic Journal of Statistics, 2016
 
Posterior Contraction Rates of Phylogenetic Indian Buffet Processes [arXiv]
M. Chen, C. Gao and H. Zhao
Bayesian Analysis, 2016
 
- High Dimensional Statistics -

 
Minimax Rates in Sparse, High-Dimensional Changepoint Detection [arXiv]
H. Liu, C. Gao and R. Samworth
 
Optimal Estimation of Variance in Nonparametric Regression with Random Design [arXiv]
Y. Shen, C. Gao, D. Witten and F. Han
 
On Estimation of Isotonic Piecewise Constant Signals [arXiv]
C. Gao, F. Han and C-H. Zhang
Annals of Statistics, to appear
 
Sparse CCA: Adaptive Estimation and Computational Barriers [arXiv]
C. Gao, Z. Ma and H. Zhou
Annals of Statistics, 2017
 
Minimax Estimation in Sparse Canonical Correlation Analysis [arXiv]
C. Gao, Z. Ma, Z. Ren and H. Zhou
Annals of Statistics, 2015
 
Sparse CCA via Precision Adjusted Iterative Thresholding [arXiv]
M. Chen, C. Gao, Z. Ren and H. Zhou
 
Exact Exponent in Optimal Rates for Crowdsourcing [arXiv]
C. Gao Y. Lu and D. Zhou
ICML, 2016
 
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels [arXiv]
C. Gao and D. Zhou
 
- Others -

 
Discussion on "Sparse Graphs using Exchangeable Random Measures" [wiley]
C. Gao
Journal of the Royal Statistical Society: Series B, 2017
 
Detecting the Impact Area of BP Deepwater Horizon Oil Discharge: An Analysis by Time Varying Coefficient Logistic Models and Boosted Trees [spinger]
T. Li, C. Gao, M. Xu and B. Rajaratnam
Computational Statistics, 2014 (Winner of 2011 ASA Data Expo)